Description
To date neurological disorders have been studied and evaluated using a list based on the frequencies of symptoms and signs. This approach is not useful for phenotyping patients or discovering patterns among the symptoms and signs. Discovery of patterns require the use of mathematical manipulation of the matrix of data. Such knowledge can aid prediction of long term outcome.
Essential criteria:
Minimum entry requirements can be found here: https://www.monash.edu/admissions/entry-requirements/minimum
Keywords
machine learning, multiple sclerosis, motor neuron disease
School
School of Clinical Sciences at Monash Health / Hudson Institute of Medical Research
Available options
PhD/Doctorate
Honours
BMedSc(Hons)
Time commitment
Full-time
Part-time
Top-up scholarship funding available
No
Physical location
Monash Medical Centre Clayton
Research webpage
Co-supervisors
Prof
Henry Ma